Latest revision as of 20:34, 28 January 2021

Abstract

This paper presents a low cost mobile application (app) integrated on an Internet of Things (IoT) ecosystem, which uses varied sensor information collected by mobile devices to track and assist on the logistics of urban goods distribution processes. The proposed approach is leveraged by the trend of decreasing costs for mobile data communication in urban environments. Taking into account basic sensor data available in mobile devices (e.g., GPS, accelerometer and magnetometer), it is possible to track the users’ movements and adopted routes, identify transit times and driving styles, identify the quality of roads, and track the process of loading/unloading of urban goods. This data can also be analyzed through a data mining process to identify patterns, present driving advice and perform a resource optimization process. This work has been supported by COMPETE: POCI-01-0145- FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. info:eu-repo/semantics/publishedVersion

Original document

The different versions of the original document can be found in:

• http://hdl.handle.net/1822/47908

• http://repositorium.sdum.uminho.pt/bitstream/1822/47908/1/IEEE-IoT-ITSL-2017-JF.pdf

• http://xplorestaging.ieee.org/ielx7/8115419/8120958/08120992.pdf?arnumber=8120992,

http://dx.doi.org/10.1109/soli.2017.8120992

• https://repositorium.sdum.uminho.pt/bitstream/1822/47908/1/IEEE-IoT-ITSL-2017-JF.pdf,

https://ciencia.iscte-iul.pt/id/ci-pub-39070,

https://ieeexplore.ieee.org/document/8120992,

https://dblp.uni-trier.de/db/conf/soli/soli2017.html#FerreiraMAMA17,

http://repositorium.sdum.uminho.pt/handle/1822/47908,

https://academic.microsoft.com/#/detail/2759820847

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